AI Indexes
IT AI Index
Index › IT operations and endpoint › Logs › Grafana Loki vs OpenObserve
Log management · October 2026 Edition

Grafana Loki vs OpenObserve

Zero of fourteen models named Grafana Loki first on the direct prompt; zero named OpenObserve. Grafana Loki was named by fourteen of the fourteen models and OpenObserve by ten and Grafana Loki carries 46 labels and OpenObserve 16, so the shares are not directly comparable.

Grafana Loki

accepted challenger

Named in eight categories this edition.

OpenObserve

accepted challenger

Named in seven categories this edition.

First-choice share11%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 12; printed, not drawn.
Labels4616A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Grafana Loki reading right to left. Rank and label count are printed, not drawn.Datadog Log Management was named alongside these two in eleven of the fourteen direct answers. Datadog Log Management vs Grafana Loki · Datadog Log Management vs OpenObserve · Graylog vs Grafana Loki

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the log management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Grafana LokiFirst choices, of fourteen modelsOpenObserve
Direct00
Paraphrase10
Comparative00
Budget-constrained51
Scale-constrained001 against Grafana Loki
Negative101 against Grafana Loki
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Grafana Loki and OpenObserve were named in the same answer forty times, of the 178 answers naming Grafana Loki and the 157 naming OpenObserve. In those answers OpenObserve took the first choice four times and Grafana Loki five.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Grafana Loki and OpenObserve stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Grafana Loki OpenObserve first choice named as an alternative argued againstblank: not namedEach cell is one answer, Grafana Loki on the left and OpenObserve on the right.

The direct prompt

The plain question, one answer per model, grouped by where Grafana Loki and OpenObserve stood in it.

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashBetter Stack alternatives: Axiom, Grafana Cloud, New Relic Logs, OpenObserve, Sumo Logic
DeepSeek V4 FlashDatadog Log Management, Graylog alternatives: Grafana Loki, Middle ware, Sumo Logic
Qwen 3.7 FlashDatadog Log Management alternatives: Coralogix, Elastic Stack, Grafana Loki, Sentry
Kimi K2Graylog alternatives: Better Stack, Grafana Loki, Logz.io, SigNoz

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniDatadog Log Management alternatives: Elastic Stack, Microsoft Sentinel, New Relic Logs
Perplexity SonarDatadog Log Management alternatives: Coralogix, Graylog, Logit.io, ManageEngine EventLog Analyzer, New Relic Logs
Grok 4.1 FastDatadog Log Management alternatives: Elastic Stack, Graylog, Sumo Logic
Mistral SmallDatadog Log Management, Graylog alternatives: Logmanager, New Relic Logs
Llama 4 MaverickDatadog Log Management alternatives: LogicMonitor, New Relic Logs, SigNoz
GLM 4.7 FlashXDatadog Log Management alternatives: Elastic Stack, SolarWinds Loggly, Splunk
MiniMax M2.5Graylog alternatives: Datadog Log Management, Sumo Logic
GPT-6 LunaBetter Stack alternatives: Datadog Log Management, Elastic Stack, Grafana Cloud, Sumo Logic
Muse Glimmer 30BDatadog Log Management alternatives: Graylog, ManageEngine Log360

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Grafana Loki leads by twelve points.
Grafana Loki12%#3 of 11
OpenObserve0%#10 of 11
The full small business standing →
Mid-marketThe figures above
Grafana Loki leads by nine points.
Grafana Loki11%#3 of 12
OpenObserve2%#6 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Grafana Loki2%#6 of 10
OpenObserve2%#– of 10
The full enterprise standing →

What the models said about Grafana Loki

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“Loki is cheap but intentionally less powerful for full-text search.” Kimi K2 · scale prompt · soft negative
“If you want to keep licensing costs low and have strong backend/K8s skills: Deploy Grafana Loki + Fluentd with a Grafana frontend.” GLM 4.7 FlashX · paraphrase prompt · first choice
“Graylog Open and Grafana Loki are the top contenders since they're truly free with no ingestion limits” MiniMax M2.5 · budget prompt · first choice
“best value choice is usually Grafana Loki if you want a low-cost, open-source-friendly platform” GPT-5.4 mini · budget prompt · first choice

What the models said about OpenObserve

No label in this category carried a quote.

Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.